shashankprasanna / ai-accelerators-examples
Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference
☆32Updated 4 years ago
Alternatives and similar repositories for ai-accelerators-examples
Users that are interested in ai-accelerators-examples are comparing it to the libraries listed below
Sorting:
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 3 months ago
- A high performance data access library for machine learning tasks☆74Updated last year
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- ☆57Updated 2 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 9 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆140Updated 7 months ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆71Updated 10 months ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 4 years ago
- ☆43Updated 6 months ago
- Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker☆13Updated 6 years ago
- From nothing to a deployed object detection model on SageMaker with Detectron2☆29Updated last year
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆143Updated 2 weeks ago
- Example code for AWS Neuron SDK developers building inference and training applications☆143Updated this week
- Sample code for parallelizing across multiple CPU/GPUs on a single machine to speed up deep learning inference☆33Updated 5 years ago
- This is a sample solution for bringing your own ML models and inference code, and running them at scale using AWS serverless services.☆38Updated last year
- ☆88Updated 2 years ago
- This repository shows how to train an object detection algorithm with Detectron2 on Amazon SageMaker☆28Updated 3 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- ☆17Updated last year
- ☆20Updated 2 years ago
- SageMaker Studio Docker CLI Extension☆13Updated last year
- ☆134Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- Implementations of Amazon SageMaker-compatible custom containers for training.☆25Updated 4 years ago
- Large Language Model Hosting Container☆88Updated 2 weeks ago
- ☆44Updated last year
- CMP314 Optimizing NLP models with Amazon EC2 Inf1 instances in Amazon Sagemaker☆13Updated last year